



'''simple docstring'''

class 							a__:






			def __init__(     self						)							->							Union[str, Any]:
					snake_case__	     =''
					snake_case__	     =''
					snake_case__	     =[]






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase						)							->							int:
					if m == -1:
							return n + 1
					elif n == -1:
							return m + 1
					elif self.dp[m][n] > -1:
							return self.dp[m][n]
					else:
							if self.worda[m] == self.worda[n]:
									snake_case__	     =self.__min_dist_top_down_dp(m - 1					,   n - 1						)
							else:
									snake_case__	     =self.__min_dist_top_down_dp(_UpperCAmelCase					,   n - 1						)
									snake_case__	     =self.__min_dist_top_down_dp(m - 1					,   _UpperCAmelCase						)
									snake_case__	     =self.__min_dist_top_down_dp(m - 1					,   n - 1						)
									snake_case__	     =1 + min(_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase						)

							return self.dp[m][n]






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase						)							->							int:
					snake_case__	     =worda
					snake_case__	     =worda
					snake_case__	     =[[-1 for _ in range(len(_UpperCAmelCase						)						)] for _ in range(len(_UpperCAmelCase						)						)]

					return self.__min_dist_top_down_dp(len(_UpperCAmelCase						) - 1					,   len(_UpperCAmelCase						) - 1						)






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase						)							->							int:
					snake_case__	     =worda
					snake_case__	     =worda
					snake_case__	     =len(_UpperCAmelCase						)
					snake_case__	     =len(_UpperCAmelCase						)
					snake_case__	     =[[0 for _ in range(n + 1						)] for _ in range(m + 1						)]

					for i in range(m + 1						):
							for j in range(n + 1						):
									if i == 0:  # first string is empty
											snake_case__	     =j
									elif j == 0:  # second string is empty
											snake_case__	     =i
									elif worda[i - 1] == worda[j - 1]:  # last characters are equal
											snake_case__	     =self.dp[i - 1][j - 1]
									else:
											snake_case__	     =self.dp[i][j - 1]
											snake_case__	     =self.dp[i - 1][j]
											snake_case__	     =self.dp[i - 1][j - 1]
											snake_case__	     =1 + min(_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase						)
					return self.dp[m][n]


if __name__ == "__main__":
			SCREAMING_SNAKE_CASE__     :						Any	=  EditDistance()

			print('''****************** Testing Edit Distance DP Algorithm ******************''')
			print()

			SCREAMING_SNAKE_CASE__     :						int	=  input('''Enter the first string: ''').strip()
			SCREAMING_SNAKE_CASE__     :						Any	=  input('''Enter the second string: ''').strip()

			print()
			print(f"""The minimum edit distance is: {solver.min_dist_top_down(Sa, Sa)}""")
			print(f"""The minimum edit distance is: {solver.min_dist_bottom_up(Sa, Sa)}""")
			print()
			print('''*************** End of Testing Edit Distance DP Algorithm ***************''')









'''simple docstring'''

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_camembert import CamembertTokenizer
else:
			SCREAMING_SNAKE_CASE__     :						Optional[Any]	=  None


SCREAMING_SNAKE_CASE__     :						Tuple	=  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__     :						List[Any]	=  {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

SCREAMING_SNAKE_CASE__     :						Union[str, Any]	=  {
    '''vocab_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/tokenizer.json''',
    },
}

SCREAMING_SNAKE_CASE__     :						List[Any]	=  {
    '''camembert-base''': 5_1_2,
}

SCREAMING_SNAKE_CASE__     :						Any	=  '''▁'''

class 							a__( snake_case__     ):
			a_	: Tuple									=      VOCAB_FILES_NAMES
			a_	: Optional[int]									=      PRETRAINED_VOCAB_FILES_MAP
			a_	: List[str]									=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			a_	: str									=      ['''input_ids''', '''attention_mask''']
			a_	: Union[str, Any]									=      CamembertTokenizer






			def __init__(     self					,   _UpperCAmelCase=None					,   _UpperCAmelCase=None					,   _UpperCAmelCase="<s>"					,   _UpperCAmelCase="</s>"					,   _UpperCAmelCase="</s>"					,   _UpperCAmelCase="<s>"					,   _UpperCAmelCase="<unk>"					,   _UpperCAmelCase="<pad>"					,   _UpperCAmelCase="<mask>"					,   _UpperCAmelCase=["<s>NOTUSED", "</s>NOTUSED"]					,   **_UpperCAmelCase					,   )							->							str:
					# Mask token behave like a normal word, i.e. include the space before it
					snake_case__	     =AddedToken(_UpperCAmelCase					,   lstrip=_UpperCAmelCase					,   rstrip=_UpperCAmelCase						) if isinstance(_UpperCAmelCase					,   _UpperCAmelCase						) else mask_token

					super().__init__(
					    _UpperCAmelCase					,   tokenizer_file=_UpperCAmelCase					,   bos_token=_UpperCAmelCase					,   eos_token=_UpperCAmelCase					,   sep_token=_UpperCAmelCase					,   cls_token=_UpperCAmelCase					,   unk_token=_UpperCAmelCase					,   pad_token=_UpperCAmelCase					,   mask_token=_UpperCAmelCase					,   additional_special_tokens=_UpperCAmelCase					,   **_UpperCAmelCase					,   )

					snake_case__	     =vocab_file
					snake_case__	     =False if not self.vocab_file else True






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase = None						)							->							List[int]:

					if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					snake_case__	     =[self.cls_token_id]
					snake_case__	     =[self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase = None						)							->							List[int]:
					snake_case__	     =[self.sep_token_id]
					snake_case__	     =[self.cls_token_id]

					if token_ids_a is None:
							return len(cls + token_ids_a + sep						) * [0]
					return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase = None						)							->							Tuple[str]:
					if not self.can_save_slow_tokenizer:
							raise ValueError(
							    'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
							    'tokenizer.'						)

					if not os.path.isdir(_UpperCAmelCase						):
							logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""						)
							return
					snake_case__	     =os.path.join(
					    _UpperCAmelCase					,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)

					if os.path.abspath(self.vocab_file						) != os.path.abspath(_UpperCAmelCase						):
							copyfile(self.vocab_file					,   _UpperCAmelCase						)

					return (out_vocab_file,)




